Triple

T16375163
Position Surface form Disambiguated ID Type / Status
Subject GroundUP Music E397660 entity
Predicate notableArtist P601 FINISHED
Object Bokanté E1210518 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bokanté | Statement: [GroundUP Music, notableArtist, Bokanté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokanté
Context triple: [GroundUP Music, notableArtist, Bokanté]
  • A. Bokanté chosen
    Bokanté is a world-music supergroup led by Snarky Puppy’s Michael League, known for blending blues, jazz, and global folk influences with socially conscious lyrics.
  • B. Barmoya
    Barmoya is a rural locality in Queensland, Australia, situated near the community of Byfield.
  • C. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • D. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • E. Bompoka
    Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d6942081909616a2c6efee9967 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c522a7c8190a306b85354a087fd completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:08 a.m.